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- Tasks: Design AI workflows for literature mining and enhance scientific content analysis.
- Company: Join a global leader in biomedical innovation and scientific discovery.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of biomedical information with cutting-edge AI technologies.
- Qualifications: Experience or interest in NLP, machine learning, and Python programming.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 30000 - 50000 £ per year.
is partnering with a global leader in biomedical innovation to find an Information Scientist in Content Analytics. Are you ready to shape the future of biomedical information? Join a dynamic and forward‑thinking team at the forefront of scientific discovery, where your passion for information science and curiosity about artificial intelligence will drive meaningful impact.
Responsibilities
- Content Analytics & Knowledge Management: Design and implement workflows for literature mining, summarization, and trend analysis using AI-NLP tools. Develop and maintain external information endpoints, ensuring FAIR principles (Findable, Accessible, Interoperable, Reusable) and interoperability.
- AI & Advanced Analytics: Apply machine learning and large language models (LLMs) to enhance information retrieval and automate content classification. Research and propose innovative AI solutions for scientific content analysis.
- Information Science: Support pharmaceutical R&D processes. Apply knowledge of data lifecycle, metadata, ontologies, and scientific knowledge systems. Ensure data is structured for scientific use, leveraging FAIR data principles and semantic technologies.
- Collaboration & Stakeholder Engagement: Partner with cross-functional teams as required. Act as a subject matter expert for AI-driven content analytics initiatives.
- Governance & Compliance: Ensure adherence to copyright, licensing, and data governance standards for external and internal content. Implement robust data integrity measures and maintain audit trails for AI-driven processes.
- Training & Enablement: Provide training on AI-NLP tools and best practices for content analytics. Develop guidelines and competency frameworks for upskilling in digital and data science capabilities through the application of content analytics.
Key Skills and Requirements
- Technical Skills: Experience or interest in NLP and LLM applications (e.g., transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Proficiency in Python and AI frameworks for text analytics.
- Soft Skills: Cross-functional collaboration. Project management and stakeholder communication. Adaptability to emerging technologies.
If you are having difficulty in applying or if you have any questions, please contact Terri-Anne Gray at t.gray@proclinical.com.
Apply Now: If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
Information Scientist - Content Analytics in Slough employer: Proclinical Group
Contact Detail:
Proclinical Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Information Scientist - Content Analytics in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the biomedical field on LinkedIn or at industry events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, NLP, and content analytics. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the information science and AI space. Practice explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have questions, reach out to us – we’re here to help you land that dream job!
We think you need these skills to ace Information Scientist - Content Analytics in Slough
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI, NLP, and content analytics. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Your Passion: Let your enthusiasm for biomedical innovation and information science shine through in your application. We love candidates who are genuinely excited about the field and can convey that passion in their writing.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Proclinical Group
✨Know Your AI-NLP Tools
Make sure you brush up on your knowledge of AI and NLP tools relevant to content analytics. Be ready to discuss how you've used these technologies in the past or how you plan to apply them in this role. Showing genuine interest and understanding can really set you apart!
✨Demonstrate Your Data Skills
Prepare to talk about your experience with data lifecycle management, metadata, and ontologies. Think of specific examples where you've structured data for scientific use, and be ready to explain how you ensure adherence to FAIR principles. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Collaboration is Key
Since this role involves cross-functional teamwork, think of instances where you've successfully collaborated with others. Be prepared to share how you communicate with stakeholders and manage projects. Highlighting your adaptability to emerging technologies will also demonstrate your readiness to work in a dynamic environment.
✨Prepare for Training Questions
As part of the role, you'll likely be involved in training others on AI-NLP tools. Think about how you would approach this task and what guidelines you might develop for upskilling. Being able to articulate your thoughts on training and enablement will show that you're not only a doer but also a leader in your field.
